Senior Machine Learning Ops Engineer

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At Specsavers, we're transforming lives through better sight and hearing. We're trusted by millions, loved by our customers, and proud to be a place where colleagues feel they truly belong. As we continue to grow, we're investing in advanced technologies to deliver even greater value—and AI is at the heart of that journey.

Our AI & ML Engineering Team is driving innovation across the business, from supply chain and marketing to finance, audiology, and clinical operations. We build intelligent, scalable solutions that improve decision‑making, enhance customer experiences, and unlock new efficiencies. Whether it's predictive modelling, recommendation engines, or GenAI‑powered tools, our work is reshaping how Specsavers operates.

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• Lead the productionisation of machine learning models, ensuring they are robust, scalable, and effectively monitored.
  
• Design and build release pipelines to streamline model deployment.
  
• Maintain our Azure ML and AI services, and develop reusable code libraries that accelerate delivery.
  
• Serve as a technical authority on applying software engineering best practices to AI and ML, providing mentorship within the team.
  

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• Deep experience deploying AI‑powered ML solutions in cloud environments such as Azure, AWS, or GCP.
  
• Strong grasp of CI/CD pipelines, infrastructure as code, and continuous monitoring for live models.
  
• Knowledge of operationalising GenAI and LLMs, with a track record of delivering real‑world AI applications that drive measurable business value.
  
• Excellent collaboration, communication, and mentorship skills to work effectively across teams.
  

If you're passionate about AI, excited by the challenge of scaling ML systems, and ready to lead high‑impact projects that make a real difference, we'd love to hear from you.